Research project: Hypernetworks and stable diffusion for 3D flow estimation and reconstruction for scientific ensemble datasets

• Python, PyTorch, OpenCV, Deep Work

Research project: Machine Learning for Scientific Visualization

• 2D and 3D (un-)supervised optical and physical flow estimation for interpolation
• Medical image registration and classification using learning-based optical flow
• Learning-based volume rendering time prediction
• Autoencoder-based (AE, (β-)VAE, WAE) feature extraction for DR and clustering
• Python, PyTorch, TensorFlow, OpenCV, OpenGL, C++, Clean Code, Linux

Deep Learning for Speech and Language Processing. Visual Question Answering. Developed metrics and performed a study for volume rendering quality assessment

• Python, Vue, React, Angular, Github+Heroku, AWS, Amazon MTurk, OpenCV, WebGL

Developed software for acquiring data from a satellite and transmitting to a ground station. Acquired 13th place worldwide.

• C/C++, Git

Project: Container technology for the Upgrade of the ATLAS Trigger and Data Acquisition. Confirmed that Docker containerization can be used for the TDAQ system

• Scientific Linux, Docker, ATLAS TDAQ software, C++, Bash